Essays by Ry Walker

Essays on AI, startups, and software engineering by Ry Walker, founder of Tembo and Astronomer.

astronomer automation bottleneck build-vs-buy business-model code-review coding-agents communication competition context context-engineering coordination culture customer-development customer-success data decision-making developer-experience developer-tools devex economics engineering enterprise evaluation experience founders fundraising future go-to-market governance growth gtm human-in-the-loop incentives infrastructure integration intuition judgment knowledge-management knowledge-work kubernetes leadership learning maintenance management market marketing measurement memory moats nuance observability open-source operationalization operations outbound personal personal-agents personalization phases pitching platform platforms playbook process procurement product prototyping quality rag reasoning recommendations retention review sales security seed shipping skills software-engineering startups storytelling strategy

tembo tooling trust unit-economics workflow

May 1, 2026	The Orchestration Bet Most companies are betting on building the best agent. A smaller number are betting that the best agent changes every week — and that the durable value is in orchestration.
Apr 30, 2026	Inspectable Logic, Not Black Box Magic Most agent projects die because nobody can explain why the agent did what it did. The fix is non-obvious — agent logic should be permanent, inspectable code, not a regenerated prompt.
Apr 27, 2026	The Mesh of Specialists Pattern One mega-agent does not work. A fabric of small, single-purpose agents — each doing one thing with high confidence — coordinating through shared context does.
Apr 26, 2026	The Grayscale Between Engineering and Everywhere Else There is no clean split between coding tools and business tools. The reality is a grayscale, and the products that win serve the whole spectrum.
Apr 24, 2026	Context Is the Moat — Don't Give It Away If you upload your entire business to a frontier model provider, you have handed them the playbook. Keep context local. Use frontier models as the engine.
Apr 23, 2026	The Mesh, Not the Monolith One mega-agent that handles everything is exhilarating to demo and chaotic in production. Enterprise wants a mesh of specialized agents with human pilots.
Apr 22, 2026	The Harness Is the Product. The Prompt Is Cheap The interesting part of an agent stopped being the prompt years ago. Orchestration, persistence, tool integrations, and policy enforcement are where the complexity — and the value — lives now.
Apr 22, 2026	Why Sandboxes Beat Vector RAG for Code Generation Vector retrieval gives a similarity approximation of context. A sandbox gives the agent the real repository. Stateless, disposable, accurate — the architecture that actually works.
Apr 21, 2026	Sessions Replace Tasks, Runs, and Threads When the same object has three names, your architecture is drifting. Tasks, runs, threads, chats — all of it is just a session. One container, many shapes of work.
Apr 20, 2026	The Agent Is the Primitive, Not the Automation Automations bundle trigger, prompt, tools, and model into one flat object. That works at five. It falls apart at fifty. The agent has to become its own primitive.
Apr 19, 2026	The Declarative Atomic Agent An atomic agent is a single declarative spec — input, output, purpose, constraints. That property is what makes the mesh composable, auditable, and cheap to optimize.
Apr 18, 2026	Agents Are Software, Not Prompts The industry treats agents as a new category. They are not. Agents are software, and the same engineering principles that have always mattered still apply.
Apr 17, 2026	The Mega-Agent Fantasy Is Already Falling Apart Enterprise AI is not one omniscient agent. The mega-agent fantasy collapses on contact with production, and the failure mode is always the same.